Biomedical Signal Processing
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Follow on Instagram for UpdatesBiomedical Signal Processing Syllabus — Unit-wise Content
The official GTU curriculum for Biomedical Signal Processing (subject code BE05003011) as prescribed for Biomed · Semester 5 divides the course into 5 units, covering 42 listed topics. The unit-wise breakdown below is read from the GTU syllabus document for this subject code, so you can check what the course actually covers before deciding which papers to attempt.
Download the official syllabus PDF (BE05003011)Unit 1 Fundamentals of Biomedical Signals and Signal Acquisition
- Introduction to Signals: Signal – Definition and Classification
- Basic Signal Parameters - amplitude
- time period
- bandwidth Signal Acquisition and Sampling Process: Overview of biomedical signal acquisition systems
- Concept of sampling
- Sampling theorem (Nyquist criterion – basic idea)
- Aliasing and its effects
- Quantization concept
- Signal reconstruction basics
- Analog-to-Digital Converter (ADC)
- Digital to Analog converted (DAC) and their needs
Unit 2 Fundamental Concepts of Biomedical Signals
- Origin/sources of physiological signals in the human body
- Types of bio signals (bioelectric
- Difficulties in Biomedical Signal Analysis
- Analysis of Concurrent
- Coupled, and Correlated Processes Applications and case studies: ECG and PCG relationship
- PCG and carotid pulse
- ECG and arterial electrogram
- The electromyogram and Program Name: Bachelor of Engineering Level: UG Branch: Biomedical Engineering Subject Code : BE05003011 Subject Name: Biomedical Signal processing the variogram
- The knee-joint and muscle vibration signals
- Applications in biomedical signal monitoring: Segmentation of PCG, Diagnosis and monitoring of sleep apnea
Unit 3 Digital Filtering Techniques for Biomedical Signals
- Fundamentals of Digital Filtering - Need for filtering in biomedical signals
- Basics of filtering and convolution
- Time-domain and frequency-domain filtering concepts Digital Filter Representation - Difference equations of digital filters
- Z-transform and transfer function representation
- the rubber membrane concept
- Pole-zero representation and stability of digital filters Types of Digital Filters - Low-pass
- band-pass, and band- stop filters
- Time-domain filters: Moving average filters
- derivative- based operations FIR and IIR Filters - Finite Impulse Response (FIR) filters and their characteristics
- FIR filter design techniques (window method
- frequency sampling method)
- Infinite Impulse Response (IIR) filters and basic structures
- Comparison of FIR and IIR filters
Unit 4 Noise and Artifact Removal in Biomedical Signals
- Sources of noise in biomedical signals- Random
- structured and physiological noise Illustration of various noises found in Bio signals - Motion artifacts in ECG, Power line interference in biomedical signals
- Maternal ECG interference in fetal ECG, Muscle contraction interference Selection of appropriate filters for biomedical signals Applications – Removal of Artifacts from ERP signals
- Removal of artifacts from ECG, Fetal ECG
Unit 5 Feature Extraction in Biomedical Signals - Concept of feature
- Detection of Events and Waves: Derivative-based methods for QRS detection
- The Pan-Tompkins algorithm for QRS detection
- Detection of the dicrotic notch
- Case studies of event detections Emerging Applications in Biomedical Signal Processing
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